gauss's divergence theorem

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Vector Calculus Gauss’s Divergence Theorem

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A short presentation about the Gauss's Divergence Theorem from Vectorial Calculus

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Page 1: Gauss's Divergence Theorem

Vector CalculusGauss’s Divergence Theorem

Page 2: Gauss's Divergence Theorem

The theorem of Gauss, like Green’s theorem, relate an integral over a set S to another integral over the boundary of S.To emphasize the similarity in these theorems, we introduce the notation ∂S to stand for the boundary of S.

Page 3: Gauss's Divergence Theorem

Thus, one form of Green’s Theorem can be written as

∮∂S F · n ds = ∫∫ div F dAs

Page 4: Gauss's Divergence Theorem

It says that the flux of F across the boundary ∂S of a closed bounded plane tegion S is equal to the double integrak of div F over that region. Gauss’s Theorem (also called the Divergence Theorem) lifts this result up one dimension.

Page 5: Gauss's Divergence Theorem

Let S be a closed bounded solid in three-space that is completely enclosed by a piecewise smooth surface ∂S (Figure 1).

Gauss’s Theorem

Page 6: Gauss's Divergence Theorem

Let F = Mi + Nj +Pk be a vector field such M,N, and P have continuos first-order partial derivates on a solid S with boundary ∂S. If n denotes the outer unit normal to ∂S, then

∫∫ F · n ds = ∫∫∫div F dV

∫∫

S∂S

Page 7: Gauss's Divergence Theorem

In other words, the flux of F across the boundary of a closed region in three-space is the triple integral of its divergence over that region.

Page 8: Gauss's Divergence Theorem

It is useful both for some applications and for the proud to state the conclusion to Gauss’s Theorem in its Cartesian (nonvector form). We may write

n = cos α i + cos β j + cos γ k

where α, β and γ are the direction angles for n.

Page 9: Gauss's Divergence Theorem

Thus

F · n = M cosα i + N cosβ j + P cosγ k

and so Gauss’s formula becomes

∫∫(Mcosα i + Ncosβ j + Pcosγ k) dS = ∫∫∫( + + ) dV∂S S

Page 10: Gauss's Divergence Theorem

We first consider the case where the region S is x-simple, y-simple, and z-simple. It will be sufficient to show that

∫∫ M cos α dS = ∫∫∫ dV∫∫ N cos β dS = ∫∫∫ dV∫∫ P cos γ dS = ∫∫∫ dV

Proof of Gauss’s Theorem

∂S

∂S

∂S

S

S

S

Page 11: Gauss's Divergence Theorem

Since these demonstrations are similar, we show only the third.Since S is z-simple, it can be described by the inequalities f1(x,y) ≤ z ≤ f2(x,y).

Page 12: Gauss's Divergence Theorem

As in Figure 2, ∂S consist of three parts: S1, corresponding to z = f1(x,y); S2, corresponding to z = f2(x,y); and the lateral surface S3, which may be empty. On S3, cosγ = cos90°= 0, so we can ignore its contribution

Page 13: Gauss's Divergence Theorem

We can deduce that

∫∫ P cosγ dS = ∫∫ P(x, y, f 2(x, y))dx dy

The result to which we just referred assumes that the normal n points upward. Hence, when we apply it to S1, where n is a lower normal (Figure 2), we must reverse the sign.

S2 R

Page 14: Gauss's Divergence Theorem

∫∫ P cosγ dS = -∫∫ P(x, y, f 1(x, y))dx dy

It follows that

∫∫ P cosγ dS = ∫∫ [P(x, y, f 2(x, y))- P(x, y, f 1(x, y))]dx dy

= ∫∫ [∫ dz]dx dy

= ∫∫∫ dV

S1 R

∂S R

f2(x,y)

f1(x,y)R

S

Page 15: Gauss's Divergence Theorem

The result just proved extends easily to regions that are finite unions of the type considered. We omit the details